人工智能在高等教育中的应用

I. Drach, O. Petroye, O. Borodiyenko, I. Reheilo, O. Bazeliuk, N. Bazeliuk, O. Slobodianiuk
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引用次数: 2

摘要

本文分析了人工智能在高等教育中应用的理论基础。它表明,人工智能系统作为一项战略技术,为人们的生活和整个社会提供了许多好处,也标志着不仅在数字技术史上,而且在全球范围内现代文明发展的一个新阶段。本文概述了欧洲和全球组织的政策,包括联合国教育、科学及文化组织(教科文组织)、欧盟、经济合作与发展组织、欧洲大学协会等,这些组织在日常生活中,特别是在教育中有效利用人工智能。基于分析结果,文章系统化了在使用人工智能时应应用的伦理原则(以人为本的价值观、治理、透明度、问责制、可持续性、比例性、保密性、安全性、安保性和包容性)。SWOT分析有助于确定在高等教育中使用人工智能的优势和劣势、机会和风险。本文研究了在乌克兰教育领域实施人工智能的监管框架,并确定了人工智能在高等教育机构教育过程中的应用特点。它分析了统计数据,以确定在开放科学下在高等教育机构中使用人工智能的风险和威胁,这些数据是由乌克兰国家科学院高等教育研究所的研究人员于2023年在全乌克兰调查“乌克兰高等教育机构的开放科学”中获得的,超过1500名受访者参与了调查。文章还为在国家、机构和个人层面的高等教育中发展和实施人工智能提出了切实可行的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Use of Artificial Intelligence in Higher Education
The article analyses the theoretical foundations of using artificial intelligence (AI) in higher education. It shows that the AI system as a strategic technology provides many benefits for the lives of people and society as a whole and also symbolises a new stage not only in the history of digital technologies but also on a global scale of development of modern civilisation. The article provides an overview of the policies of European and global organisations, including the United Nations Educational, Scientific and Cultural Organisation (UNESCO), the European Union, the Organisation for Economic Cooperation and Development, the European University Association, etc. on the effective use of AI in everyday life and, in particular, in education. Based on the analysis results, the article systematises ethical principles (human-centred values, governance, transparency, accountability, sustainability, proportionality, confidentiality, safety, security, and inclusiveness) that should be applied in using AI. The SWOT analysis helped identify strengths and weaknesses, opportunities and risks of using AI in higher education. The article examines the regulatory framework for the implementation of AI in the Ukrainian educational area and identifies the peculiarities of AI application in the educational process of higher education institutions. It analyses statistical data for identifying the risks and threats of using AI in HEIs under the Open Science, obtained in 2023 by researchers of the Institute of Higher Education of NAES of Ukraine in the all-Ukrainian survey “Open Science in Higher Education Institutions of Ukraine,” more than 1.5 thousand respondents participated. The article also substantiates practical recommendations for developing and implementing AI in higher education at the national, institutional and individual levels.
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